{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "[2019-03-27 21:33:38.882] [info] Loading market information...\n",
      "[2019-03-27 21:33:38.886] [info] Loading stock type information...\n",
      "[2019-03-27 21:33:38.887] [info] Loading stock information...\n",
      "[2019-03-27 21:33:43.917] [info] Loading KData...\n",
      "[2019-03-27 21:33:43.928] [info] Preloading all day kdata to buffer!\n",
      "[2019-03-27 21:33:53.843] [info] 9.92529s Loaded Data.\n",
      "Wall time: 17.6 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive.interactive import *\n",
    "#use_draw_engine('echarts') #use_draw_engine('matplotlib')  #默认为'matplotlib'绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 简单示例\n",
    "========\n",
    "\n",
    "查询并绘制上证指数最后100个交易日的K线数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.getKData(Query(-100))  \n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2 查看与遍历K线数据\n",
    "==========\n",
    "\n",
    "K线数据可以象list一样遍历和查看具体值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KData{\n",
      "  size : 100\n",
      "  stock: Stock(SH, 000001, 上证指数, 指数, 1, 1990-12-19 0:0:0, +infinity),\n",
      "  query: KQuery(-100, 9223372036854775807, INDEX, DAY, NO_RECOVER)\n",
      " }\n"
     ]
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.getKData(Query(-100))  \n",
    "print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<KRecord(Datetime(201903210000), 3094.1200, 3125.0200, 3086.8500, 3101.4600, 40393981.9000, 4142511.0000)>,\n",
       " <KRecord(Datetime(201903220000), 3100.7300, 3107.2800, 3064.8800, 3104.1500, 35667833.6000, 3648483.0000)>,\n",
       " <KRecord(Datetime(201903250000), 3058.8000, 3087.0000, 3041.9500, 3043.0300, 37537565.9000, 3802787.0000)>,\n",
       " <KRecord(Datetime(201903260000), 3057.5600, 3062.6900, 2988.4900, 2997.1000, 34144482.0000, 3534980.0000)>,\n",
       " <KRecord(Datetime(201903270000), 3012.2600, 3022.7600, 2987.7700, 3022.7200, 29507597.1000, 2913903.0000)>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看最后5个交易日的K线值\n",
    "k[-5:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3106.42\n"
     ]
    }
   ],
   "source": [
    "#遍历查询最大收盘价\n",
    "max_close = 0\n",
    "for v in k:\n",
    "    if v.closePrice > max_close:\n",
    "        max_close = v.closePrice\n",
    "print(max_close)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "K线数据（KData）其实是有KRecord组成的数组，KRecord的属性如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "日期 -  2018-10-30 0:0:0\n",
      "开盘价 -  2538.57\n",
      "最高价 -  2586.92\n",
      "最低价 -  2521.78\n",
      "收盘价 -  2568.05\n",
      "成交金额 -  15238592.9\n",
      "成交量 -  1666823.0\n"
     ]
    }
   ],
   "source": [
    "print(\"日期 - \", k[0].datetime)\n",
    "print(\"开盘价 - \", k[0].openPrice)\n",
    "print(\"最高价 - \", k[0].highPrice)\n",
    "print(\"最低价 - \", k[0].lowPrice)\n",
    "print(\"收盘价 - \", k[0].closePrice)\n",
    "print(\"成交金额 - \", k[0].transAmount)\n",
    "print(\"成交量 - \", k[0].transCount)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3 Query详解\n",
    "========\n",
    "\n",
    "获取Stock的K线数据，需要指定查询条件，可按索引和日期两种方式查询。\n",
    "\n",
    "构建按索引方式查询条件：Query(start=0, end=None , kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "构建按日期方式查询条件：QueryByDate(start=None, end=None, kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "其中，索引遵循Python的惯用方式，即以0位起始，以[start, end)的方式查询，支持负数表示倒叙; 按日期查询同样遵循[start, end)惯例。\n",
    "\n",
    "kType: 为K线数据类型（日线、分钟线、周线等）:\n",
    "\n",
    "    - Query.DAY      日线\n",
    "    - Query.WEEK     周线\n",
    "    - Query.MONTH    月线\n",
    "    - Query.QUARTER  季线\n",
    "    - Query.HALFYEAR 半年线\n",
    "    - Query.YEAR     年线\n",
    "    - Query.MIN      1分钟线\n",
    "    - Query.MIN5     5分钟线\n",
    "    - Query.MIN15    15分钟线\n",
    "    - Query.MIN30    30分钟线\n",
    "    - Query.MIN60    60分钟线\n",
    "    \n",
    "recoverType：为复权类型（不复权、前向复权、后向复权、等比前向复权、等比后向复权），仅支持日线复权：\n",
    "\n",
    "    - Query.NO_RECOVER     不复权\n",
    "    - Query.FORWARD        前向复权\n",
    "    - Query.BACKWARD       后向复权\n",
    "    - Query.EQUAL_FORWARD  等比前向复权\n",
    "    - Query.EQUAL_BACKWARD 等比后向复权"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.1 按索引方式查询K线数据\n",
    "-------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#查询股票前100个交易日的K线数据\n",
    "k = s.getKData(Query(0, 100))\n",
    "\n",
    "#查询股票最后100个交易日K线数据\n",
    "k = s.getKData(Query(-100))\n",
    "\n",
    "#查询股票第199个交易日到第209个交易日的K线数据\n",
    "k = s.getKData(Query(200, 210))\n",
    "\n",
    "#查询股票倒数第100个交易日至倒数第10个交易日的K线数据\n",
    "k = s.getKData(Query(-100, -10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "3.2 按日期方式查询K线数据\n",
    "--------------------------\n",
    "\n",
    "按日期查询同样遵循 [start, end) 惯例。\n",
    "\n",
    "日期类型为Hikyuu库中定义的 Datetime，其记录的是“年月日时分”。可使用Python的datetime类型、日期字符串或数字表示法进行构建:\n",
    "\n",
    "- Datetime(datetime.date(2017,1,1))  - 从Python的datetime构建\n",
    "- Datetime('2017-1-1 9:35') - 通过日期字符串构建\n",
    "- Datetime(201701010935) - 通过数字进行构建，数字格式须如“yyyymmddhhmm”（4位年份2位月份2位小时数2位分钟数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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u7uOFvW8rbr1VuvRSnyG87Tb/Ajlv3tyxSNLFF/vn5MlPbmx8Qc/fE57gf05/8Rc+8KvmhS/0b7mcv8Aoe+AB/1i1AsZunNt73uMDlqc8xQe1r3udDxw+9CH/+dFHS+9+t7R06dz7Pvyw9OlPS+efLz30kA+gn/50HxzV08q5Sf77/eM/+p9LNRddJH396/65f85z/AVh2PtecYUPKsu+8AUf3L785f4C5VnPks47z/+Nznb77b4M44lPlJYt8yUzN9/s/zaf9rSZx55zjvSBD0g9Pf7zX/7SB5nPelb1sVV7Dq67Lvh7zHbWWdLAgPSlL0n//u/+e82f7wPWo4/em1G+7DI/U7Jwoc/oPvSQdOGF0pIlPrC84AJ/MVPte3z84/783/jGvRfIYY779relz37WX9BLPoB95zv9+S1e7C+E2oAMLQB02j/8w94Xyi1bpAMO8BnLv/1bf9sJJ/gM2D77SN/8ptTbO/cxbrjBBykHHjjzvscc46fyn/AEnxWtdM01PnDYZx/pmc+UCgX/IvLhD/up/zVrqo856PHC3nf37tpBUGU27O67/Yt42Rve4EsS/uu/pG3bfFAVNJbf/lYaG/OZwE2bGhtf0PN3331+HPvtJ119dfX7lh19tA+Gym8nnDA38Iji3O67z0/fmvlAZWrKv7/1Vp/9//OfpUWLgu+7Zs3Mc3j/+/25XX+9f//iF3fm5yb5wOpNb6p+XpI/j1tu8d97//0bu+9jHuPfJOnBB32G9/TT/cXloYf6n3n5b3TjRh+Ulb373T6r+7WvSQcd5APEpz7VB4+VrrnGP97dd0u/+Y2/7frr/UXs854397mYbfZ5BH2PIC94gc/O3nWXLyn49Kf939jTn+6D/gcf9Mc97nH+oua1r/W/Hz09PnP/mtdIxx03s0zm29+WvvzlvZ//93/7C4KFC/3zWO3vO+i4Zcv8uZWVb3/kET+OyrKHFhDQAkC3bNzoX+zLU5IHHuhvX7zYBxu9vT4LFORTn/LZNyn4vgccMLe2b948/8JSedxpp/kX3o0bpc99ztdMBgl6vLD3/djH/DmuWOGDxze9yb/I3Xmnf/+iF/mpackHCOWp8bIdO3w2qb/fv+AFjeVDH/LZsFNO8WUZN98cfnxBz9/YmM8ovetdPtP1ve8F3/c3v/Hn8Kc/zZyu3bjRZ3jLWaiozu2oo3xg+rWv+QuYQw/1weh11/lA57jj/O9FkKOP9jMAZRdf7M9t2TL//tpr9wYf7Ty3O+7wAfff/33wuMpOOskHzGvW+MyzFP6+le6802d7v/SlvQuqyjXRki8DOuecmfeZnJT+4z/2ZuUPPHBvgFx23nn+d/81r/EzI/fe629bv95P5597bvBCyWrnEfQ9grz5zb604aGHfFB61VX+9/f00/3v6utfP/ccJZ/J37zZZ2tvu01au3bv1177Wj+zU1Z5EfTEJ1b//Qs6bnZ97KGH+vGZ+efo7/6u/jmGQEALAN1w330+IC3XbC5cuLfWcseO6i90kq/L++Mf/XRuI/etzHyUjysHNI973N6sbVhh73v++dKNN/p6vac8xWefyzW069fvrYWsZtEi6Ytf9FmcG24IPubmm6X3vte/6P/N3/hgK+z4gp6/m2/2i2hyOZ+9Xb8++L4PPuhLEq66yi8IK7+VA5d6K807fW6XXOKDrjVrfABl5rN24+N+SnnnTj8VHWTZsrnBrnM+M/rHP9Y+r1bO7ZxzpE9+sv7jj4/7qetPftJnVO+4I/x9d+70wduNN/qA6vWv9+f70Y/6DGc9+bz0rW/5n3GxGHzMPff4i7eDDvIXBzfcIL3sZf5r++3nL1i3bQu+b9jzqOb66/3f2tvfLv3qV/781q71JSrl8oBy8F52//3+fBYu9O+rBanSzMC61v+cMMctWOAvkI47zmd0n/Y0f4HYIgJaAOi0Xbt89u+ii3z2SvJ1cj/7mf/4llv8C2Y13/3uzMUoYe/77Gfvnda95Rb/vY8+2r/QTE764OKQQ8Kdg3ON3/cb3/BBQ5gsU9kZZ/hMpOQD+WrT44cc4qd2JX+OjZxb0PN3yCF+yrby8YKUs1x//rO/OFm0yL+Vp1RnZ8G6fW7l8hJp7yKku+/2K8kfesgv1Kk1xkq33eaD4mOP9cHc9u3Vp5qbPbcnPtEHpqtW+UzdD39YvaTi1lv9Y2/f7usw7703/H33288/N5W1w6ee6i++3vGO2s/DSSf5rO6jj/rnsFwfO9sBB/jAzDkfOPf3+yn93bt9HW65/GO2e+4Jfx5Bduzw/1tWr/ZZ8wUL/O0HH+yfp3JQWW4v9+Uv+5KNLVv8ud96q39fK6hctMgH8s75+vqgGuxGjvvtb6VnPMN/PH9+7Qv6kFgUBgCd9vnP+0Diggv82xln+GnJF7/Yv5hdeaWfEq7mqqukwcG9n7/1rT7AvfZan+E48sjg+51xhs/YlNsoHXigr3s8/HCflfn4x31A8dOf+sdZvbr6GMyC71vN9ddL//RPM7OBQf1n777bv3iXp6/f/34/1Wnmp+/LwdlsF17oxzs97TNir3qVz8KFObeg5y+f9y/qF1zgp22/9a3g71vOcj36qA8Ihof95+VApTILFsW5ST5I+9jH9gauIyN+6nnLFp8VPe644O9bPi/n/LHXXuvLFd74Rl9fWiz6gPTNb27fuZ1yiv95SNLoqM8url7tSyYWLPC1uWXnnusv0nbs8FP6K1b4QFHyGevh4eq/wx/4wN7vIfm/u3LLtXPO8WUcBxzgv7Zxo7/gKZcdnH++z7zOn+/raau1JPvYx3wpxAMP+Of7uc/1n//VX/mAutyZYfa5PfnJ4c8jyPe/L5144tzbP/MZ//P62tf8z+zCC/2xJ53kfw+e9zwfqE9P+/eVfWi//W3/PJfLDs4805ch9Pf7C5z586V/+RffreDoo/feL+i4ILfc4s//F7/wZSTVAt9GOOdi8fb85z/fAUCm3Hefc9/8pnP33tv4ff/wB3/f7dtrH/fb3zp3+eXOPfRQc2Nsxtatzr3oRc797Gczb3/qU7s3hnrCPn+z3XCDc2edFfy10VHnXvay1scWpXXrnPvc55z75S+du/9+5y66yLmf/9y566937vWv97d1ytBQ5x677MILnTv/fOcOP9y5X/zC3/bDHzp35JHO3XFH579/J7z0pc4Vi87dfrtzRxzh3Fe+4txJJzk3OOjc1JRzL3mJc9PT/tgLL3Tuyiv9xyecMPNxjjqq9vfZvNm5737XuUceac9xIUna5ELEkeZm11REZNmyZW5T5YpHAACS5JFH2rZiO5OGh/dmvDvt4YerL45Lmm3bfAZ4926/AcZBB/kMeznr+eijwWU/U1PBHVVixsxudM4tq3ccNbQAALQDwWzjxsej+b5pCWYlH8xKfnr/oIP8x5VT+NVq2BMQzDaCgBYAAESjkS4bQA0EtAAAAEg0AloAAAAkGgEtAAAAEi1UQGtmi83seDPbv/7RAAAAzRnfPB71EJBAdQNaM9tP0hWSjpB0tZktNbM+M7s24Njvm9lhpY8PNrOfmNlmM/tg20cOAABSp7C9EPUQkEBh+lYcKuls59x1peD2OEmnSZqx95uZnSLpd865zaWbVkv6Z+fcz83sZ2a21jm3pZ2DBwAAAOpmaJ1zG0rB7DHyWdorJZ0saap8jJktlvQJSdvM7NjSzVslHWpmfZIeK2l7uwcPAAAAhOosbGYmH8Ruk7TbObfTyntEewOSLpd0iaSLzOwJkn4o6b2SniLpp5IeDnjc0yWdLklPe9rTmj8LAACQDPm8f08PWrRRqEVhpe10z5R0q6QTAw45XNJnnXNFSZdJWinpA5JWOefOk7SvpOMDHnedc26Zc27Z0spdLQAAQDpNTPg3oI3CLAo718xOLX26SMGlA3dKOrj08TJJE5IOkvRUM3ucpOdJcq0PFwAApEI+L42M7M3YAi0IU3KwTtJlZvYOSb+S9KOAYy6W9O9mdp6kByW9Tj7IXS9pqXyXhJ+2Y8AAACAFJiYk56SZJYxAU+oGtM65bQouF1hZ8fE9kl4565D/Kr0BAIAkGh+XVq2KehRAXewUBgAAgrFwCwlBQAsAADpvfDzqEaQTz6skAloAANANZHs7g+dVEgEtAADopiVLpP7+qEeBlCGgBQAA3bN6NVlFtB0BLQAAABKNgBYAACAp8nnfu5cNKWYgoAUAAN3X3+8DM+ppG1PekKLW9sEZ7HxAQAsAALqvUPCBWY162vHN490aTfLl83uzthmsUQ6z9S0AAEDXFbYXoh5CctTK2GYAGVoAAAAkGgEtAAAAEo2AFgAAAIlGQAsAAIBEI6AFAACh0XkgRvJ5aWTEv8/4lsIEtAAAoK5yIEvngRip7Emb8S2FCWgBAEBdbQtk2eEKHUBACwAAumfVqppfHts4ptxorjtjQWoQ0AIAgGhV1IJO7ZrS5PRk1CNCwhDQAgAAINEIaAEAQLQKBb+4KcOLmtAaAloAABBKbjSnkQ0j1LjGRX+/ZJbpdl1lBLQAACCUcm0rNa4xUShIQ0NktkVACwAAglQ27Qdibl7UAwAAADGRz/sm/f39e5v2m0U9KqAuAloAAOBVBrHUZyZT+aJkfDxTpQiUHAAAgLmoz0ymyu1wM4SAFgAANGd8PNxx1OOiwyg5AAAAzQmbvW2iHjc3mtPk9KTWblqr4mCxufEhM8jQAgCA2KFFWJMyWvtMQAsAAGKjd0Gv+nr6oh5GcmW09pmAFgAAxManXvGpwBKD8c3j3R8MEoMaWgAAUFNuNKedu3d25XutOmxV4O2F7YWufH8kExlaAAAAJBoBLQAAGVdvOr84WNTA8oHuDAaNoRWaJAJaAAAyryPT+fm8X21PwNVZq1ZFPYJYoIYWAAC0XxO9Z4FmkaEFAACJRxeEbCOgBQAALYs6oKQLQrYR0AIAgJbtCSjHx9v+2LnRnEY2jCg3mptxe9RBdCJ04OcRRwS0AACgfYJ2qGpiO9bybmF9PX1Vt8ElKxtCRnYMI6AFAACNy+elkZFwXQya2I61OFjU0IqhwF3DgNkIaAEAQLBawWq5i8HERNeGU0apQYCMt0cjoAUAAMEi7nGaX5QPvJ1SgwAZ70dLQAsAAGJp1WGroh4CEoKAFgAAII0aqXNOOHYKAwAAjWuicwG6pBzAZmi3NjK0AACgcU10LkCXZLCeloAWAAB0XgamvREdAloAANB5GcwaonsIaAEAAJBoBLQAAABINAJaAADg0bkACUVACwAAvBqdC6rt2gXEAQEtAACoK267duVGcxrZMKLcaC7qoSAGCGgBAMi4sY1joQLDvp6+Ge+jNDk9OeM9AmSohISdwgAAyLipXVOa2jVV97jiYDHw9txoTjt379TwyuE2jwwtKRSk4WH/lnJkaAEAyKrx8bY8zOT0ZKiAuGvadF6xksZzaiMCWgAAsipo29qE7OhVs/whjdvxpvGc2ihUQGtmi83seDPbv9MDAgAAEUrIjl7FwaKGVgxVLYNAttQNaM1sP0lXSDpC0tVmttTM+szs2oBjv29mh9W7DQAAoBm50ZzGNo5FPYzuW7MmMdnzKITJ0B4q6Wzn3AWSrpJ0nKQvSuqpPMjMTpH0O+fc5lq3AQAANCuoXjcTLby2bpUmJpq++/jm8faNJYbqBrTOuQ3OuevM7Bj5LO2Vkk6WtOe3ycwWS/qEpG1mdmy12wAAANqNFl71FbYXoh5CR4WtoTX5IHabpN3OuftnHTIg6XJJl0g61cxOrHLb7Mc93cw2mdmmLVu2tHAaAAAgq+LUH7fjMtRbthGhAlrnnSnpVklzAlNJh0v6rHOuKOkySSur3Db7cdc555Y555YtXbq0uTMAAACZlqkFYoWCdOml6ex60EJrsjCLws41s1NLny6StD3gsDslHVz6eJmkiSq3AZFJe/0QAMQKmcTOSUgnioa1EKSHydCuk/QWM7tG0j6SfhRwzMWSVpvZzyUdI+kLVW4DIpP2+iEAiJVCQRoaansmsa+nT70Letv6mEi+ulvfOue2STo+4PaVFR/fI+mVsw55IOA2AACQFhG0kSoOFjW8frjr3xfxxk5hAACgOWmd+kbiENACAIBYa6iLQT7vNyFAptQtOQAAAAhtzRq/Wr2NtbMfk3n+AAAgAElEQVQNdS9oYfMBJBcZWgAA0D4t7miFzhjbOJbqndQIaJF65XZdaf9jBoBYWLKEVl0xNLVrKtU7qRHQInnyed/bMOTq2nK7rrT/MQNALKxenc6m/4g1amiRPBMTknM+qAUAIEBuNKfJ6Un19fRlYwexjCOgBQAg40J1D4ih/KJ84MeS9szIMTOXDZQcAACQccXBYmeymB3eeGHVYasCP0ZtadwKnoAWiZHGP0AAiEw+L42MtCXo7OvpC87ydmjjhdnZWNTXu6B3z88ojVvBU3KAxEjjHyAARKaN6xG6XaNKNrYBpQuWgeUDGl45HOlQOokMLQAAQFplZHtiAlqkUrk8ITea08iGkZr9ZyllAAAg2QhokXhBAWm5PCHMKldKGQAASDYCWiRPf7+v+SrtRNNUQDo+3tYhAQBior/f71aGTCGgRfIUCtLQUNWdaCrLDMorOuesvmUXGwBIp0LB71aGZGmx6wYBLVKnssygOFjU0IohdokBACDOyl03JiaaujsBLbKnjb0XAQBIkjCLpZOIgBbxls+HDzzD1sW2eBUIAKghDsmCOIwhpmYvlk5Lpx8CWsTbxET4wLOJuti0XqkCQGTi0Pc0DmNIiLR0+iGgRSx14oqxctu/sjBtvQAAQLwR0CKWgq4YxzaOtZRJHVg+wOIwAABSiIAW8VbRT3Bq1xSZVAAAWlC1nWVU2tQXnoAWsRFYZkA/QQAA2iZ27Szb1BeegBaxkZbCdACIrXze77SYgS4AsctERiy/KB/1EDqKgBapwz8xAKgiQ20LY5eJjNiqw1ZFPYSOIqBF6vBPDACAbJkX9QCAsHoX9Grf+ftGPQwAANBu/f2+HKa/v6m7k6FFYjTbdivtdUMAACReoSANDTW9SIyAFqlUGcTOqRtq8SoQAIAkS2Oih4AWsdOO7WhrFr+3eBUIAEieTuxAmVSxWSCWz0sjI23pukENLWIn1Ha0GWg5AwBoH1pD1lZOInV1QXW564ZZyw9FhhbJtGpVRx6WK3gAQBZNTk92bzfONu0OVomAFqjAFTwAAB3WgZI/AloAAABEr4VyQgJaAACyiI4viMqaNcHBawvlhAS0SI9qfyAAgLkKBb8gh44v6LatW9u+/TIBLdKjA38gAABEJp+PJlHTgUVbgdo4S0BACwAAEEcTE9Ekaqpl7dsd6LaxLzx9aJFoudGcJqcntXbTWtXrnJfGnVEAAOiaGJenkKFF9Fq44gu1CUNJbHZGAQAAbUVAi+jF5IovN5rT2MaxqIcBAEBs7NlwKJ/3i6/lXy/LbzZiLW1V3y6UHCBa+by0Y4dyC9fuKR2ISsd2SBkf39OKZHzzOJliAEBi7NlwqKKWd/brZdd2GKuBgBbRKv2BTE6r9L6FP4q49lKsyECzExkAIC4q16EkHQEtEqPuoq6YlC4AAJAEjaxDiTtqaJEYTNUDAIAgBLSInb6evhnvo7CnCL5V+bw0MsIOZgCAZOvvl5YsiXoUVRHQInaKg0UNrRhScbBeZ9kW1Agwc6M5nfbd09qzanNiwm8tyQ5mAIAkKxSk1aujHkVVBLTIplLXgSAt1RR1a7tAAAA6oWJmMTea08iGkVi05aqHgBYo6evpU++C3tYeJOTCtLaVNAAA0E4JnVkkoEWitVpvW3n/4mBRA8sH2jOwgExt5ZUu7bsAdBMX0Qitv18yk/r7my8BzOe7vnaEtl1ItFbrbEPdv2JjhNACMrWVpQxjG8e0dtPaztYJA0BJVi+iy+0eK/ut8n+3jkJBGh72b82KILtLhhaop039bSuzwVO7plLR9w9AzGW8rr/c7jFN/VYTrYO/jwS0iIU4tOrqtK50bwCASmw4k0ipLRHp4O8jAS1iIbbBHn1kAQBdltUSkVYQ0AKzzMgW11vtmc/74vlqAW9FcT0AAJnTpbIXAlqgQn5RvrFscb2At1CQhoaY9gMAtKa/P5nJkS69/hHQAhXKCwgAAIiVQqHtwWGa1q+ECmjNbLGZHW9m+3d6QIC0t9VKYq1ZQ90tACDWioNFuSHXtvUrUS5mqxvQmtl+kq6QdISkq81sqZn1mdm1Acd+38wOm3Xbc8zsx20bMVKrMohNfKZ069bE7bICAGmVpkxkHPQu6A18LqNczBYmQ3uopLOdcxdIukrScZK+KKmn8iAzO0XS75xzmytuM0n/Iml+20aM1Ep8EJvP+8wsACBWKtdG5EZzyo3moh6SJMVqLI0YWD4Qu65EdQNa59wG59x1ZnaMfJb2SkknS5oqH2NmiyV9QtI2Mzu24u6nSbq6vUMGolH3H8/EhM/MAgBia3J6MjYbLMRpLH09fepd0Bv1MJoWtobW5IPYbZJ2O+fun3XIgKTLJV0i6VQzO9HMlkh6s6TRGo97upltMrNNW7ZsaeoEkED1Wl3FVJz+8QBAoIT+f82Uip9R3SCyv19asqQrwyoOFjWwfKCh+7SllKNNv6uhAlrnnSnpVkknBhxyuKTPOueKki6TtFLSRyX9P+fc7hqPu845t8w5t2zp0qUNDx4JVa/VFQCgOfx/jb+Kn1HdILJQkFav7trQgtRapF23zWWYzYlWrWphdHuFWRR2rpmdWvp0kaTtAYfdKeng0sfLJE1IWiHpY2a2XtJhZvaR1ocLdBkbIwAAMqyl9S1dvMAKk6FdJ+ktZnaNpH0k/SjgmIslrTazn0s6RtIXnHPPcM6tdM6tlLTZOXd+uwaNjIly6qzaxghd2vkEAJAtudGcRjaMxHOxWIxLWebVO8A5t03S8QG3r6z4+B5Jr6zxGCurfQ2oq03TEY2o2weXnb8AAO00Pi6tWrVnrUYs12xE8HocVt2AFsiipqZY+vulHTvaPhYAQAakPVGSz/vSgw7NcLL1LdAulcX7Sd1zGwDQfg10n0jtJhAdrqcloEW00hr4dWDPbQBAhCozi41mGRsI5up2DkAgSg4QrSQGfS1Mm5Rrc3sX9Grf+fu2dVgAgA6qfL1K4mtXypGhbcL45vGoh4CEKtfmxnHbQABAk1KyoUXdBdE15EZzGts4Fu7gDszOEtA2obC9EPUQEKVqrbykxP8zAwA0ISUbWrTSc3ZyelJTu6bCHdyBsjwCWqCdYtzSBACQQDFPlNTM6nZxcyICWgAAsoLdD+Op1haxMU+U1Mzq1prRbDMCWgAAsqKLAUZc9fX0qXdBb2N3qhVwtkPCShZaqbXtFLocAACAzCgOFjW8frixO5UDTrOOjCl26gTuDdXadqlkggxtC3KjOdmIxXO/ZbRdU1f1UuzrnwAATerQrleRa7XMYcmSvWUtXSqZIKBtQaz3W0bbFQeLGlg+0PgdY17/BABoUoZLN2pavbrrzw0BLdAKFlgAQGLlRnPMsnZCBDOTBLRh5fNMHWdVrZ87CywAxFW1hUy8lu0xOT3Z+CxrpxeIpUEEM5MsCgsrISsP0QGUDABIomoLmfif1poGF4iNbx7Xqs6OCCKgbVhuNKfJ6Umt3bR2zu2S2M405eLYqgQAEF+hdhfNQvlah8+RkoMGVVsI1tS0BRKnlW0BAQAp1WqwloXytULBZ7Y7dI4EtA3q6+mb8R5oBpleAN00tnGMxU+dVC8gzUAGtq+nL9LYiIC2QcXBooZWDFFakHUtLgYg0wug4yqCqKldU8witoIMbF3FwWKksREBLdAMFlUAiLsMBFFd0+BzOb55vJOjQQACWnRPWndUAYCo8H81WmvWBM7Y1VwIloHygygQ0NbDP4v2IUsAAO3F/9XQmlq7EBQDVAakW7fOaeuZG81pZMNI9ZplMucdQUBbD79w7UEjagCITO+C3swvZm5q7UJQDFAnIK3WDQmdRUCL7ig3ok7jBhUtBunUWgHotIHlAyxmRqoR0AKtanGBWKim2wBQAxfGyDoCWgAAEo4LY2QdAS0QobqLB9A8FnQCQGYQ0AIRYvFAh+Tz0mmnsQgRQHLw/6olBLQA0mfWIkTqC5EZ9DhNLjbsaQkBLYDUK9cX5kZzlHcg3aq0lGqqByvqW7KkuYuHimwsP5v2IKAFkBmT05OUdyCTmurBmlX5vM9yhykBWL26uX71FdlYfjbtMS/qASCDmBJDF+VGc5qcntTaTWujHgqAJCiXLJm1/FC50Zx27t6p4ZXDrY8LNZGhRfcVCv6fBbuwoQtYeIcsGNs4FlxOw0KjQHOm+atlZdesCf8cBhw3OT2pqV1TrY8PdRHQhtXf72tlxC8aEFvlVl3MAiBjpnZNBV+0sdAo0Jxp/mq7WW7dGn6HyzY+15QhNI6ANqxCwdfKiF80ILbKWf+KhTHl/euzvo89gO7gf040CGgBpEfA9GBxsKihFUPsY4/kYFOQRON/TjQIaAGkR53pwb6ePvUu6O3igFpD/9yMYn0B0DAC2lryeWlkhKJ6ICWKg0UNLB9QbjQnG7HY96Qt988FGsJrVmwk7SI6yQhoa6lWJA4g0eh8gNhpZ5kBC8Fio3wRjc4joG0EV73NoR4MAGqjzABoCQFtI7jqbQ7/qAGgNSQG4olEV2wQ0AIAEHckBqIXFLw2kugi+O0oAtoW0GsOAICMqAxemwlOmeXtKALaFmS211y1LQKBiNDeCplC+UH0CE5jh4AWjaP7A2ImsL0VF1xIgcCLNcoPgDkIaAGkx5IlUn+//zipGRSyb9lTo+d52F7EvQt6KX9DphHQom0CMwn5vN+OFOiG1auTn71K+vjRuDbMeg0sH8he+VuM5Rflox5C5hDQoiWVQWxgJmFiwm9HCgBA0lTO+jRg1WGr2j8W1ERAi5acdeVZsd8+FEg6Fr0BEUnDrE9GzIt6AEi2qV1Tmto1FfUwgFQLW0eJBKJmOvUoP+gOMrQIh1ZdiJt2BgIEFYhKjexfbjSnsY1j3RsLOoLyg+4gQ4twyosWzKIeCeC1cxqQKUXE0OT0ZNRDABKDDC2ATGH6D7HT3++TBY0uPqKLDLAHAW2LeHEEkqXe9B8LsNB1hYI0NNT4TAFdZDqj2QsMRIqAtkXUxgDRyo3mNLJhpG3dNliAhUjV2GQB7dfX0zd3Q4pmLzAQKQJadAdXvOiQcp1h0uoNyQSjZf39vk8qmlYcLPoNKXiNSjwCWnQHV7xop3ZmsSLKiJEJRqBG/lcWCr5PKlrHa1TiEdDORnsq5UZzoadv2T+8fXKjOdmIsVFFGNW2Cm3m77YN2462imwtQv/uUpIABCKgnS0GL25Rm5yenDt9WzkdU/Fx0P7hBGbNSerUedTKF1R9PX3SqlXRDqZJjWRrCX5TKuzvLq9RQKBQAa2ZLTaz481s/04PKFaarKlJ0wvOnnOpnI6pMzVDYIZuKg4WNbRiaM6FVWgJq52jVAHoIjLhiVE3oDWz/SRdIekISVeb2VIz6zOzawOO/b6ZHVb6+Glmtt7Mfmpm68wS2JG/UPBXwg3W1CT2BSdgt6Szrjyr4UzrjIwZEHdxqp1jOjlb6CMbfwmd9cmiMBnaQyWd7Zy7QNJVko6T9EVJPZUHmdkpkn7nnNtcuuldks5wzh0n6amS/rpto0ZnBLygT+2aajjT2nLGDKgnYVnV0JhOzhb6yAJtUzegdc5tcM5dZ2bHyGdpr5R0sqSp8jFmtljSJyRtM7NjS/c7zzl3e+mQJZL+1O7Bx1G7e2J2XJ097Fn01Vlks5sUp6xqEuTzZH2jVud/LYDWhK2hNfkgdpuk3c65+2cdMiDpckmXSDrVzE6suO/Jkn7tnLsn4HFPN7NNZrZpy5YtzZ5DrCSufrROQBC06KshlX0SeUGdozhYlBtyZLNjKE218JqYIOsbtYr/tWF/t/p6+tS7oLcz4wFSJlRA67wzJd0q6cSAQw6X9FnnXFHSZZJWSpKZHSxpUNL7qjzuOufcMufcsqVLlzYxfMTF8PphjWwY0fD64ZlfqOyTSC0SEiSxtfB1pCpQT6iwv1vFwaIGlg90djBASsyrd4CZnSvpXufclyQtkrQ94LA7JR0s6X8kLZM0UVpM9nVJbwvI6CJu8nmfwRkfl05r/O7DK4dnvAfiJL8oH/UQYiOtgTqAbAuToV0n6S1mdo2kfST9KOCYiyWtNrOfSzpG0hckfUDS0yR9ptTtYEWbxtxe1DV5LEZBAjSbXVx12Kq2jgOITJUFkVy0IevCLArb5pw73jl3jHPuH5xzrnT7yopj7nHOvdI5d1Tp2Aecc+c6557knFtZetvQwfNoXjcXlcQleK6zQIS6LcRVlrKLudGcxjaOdfabxOV/EsKrsiCSizZkHTuFzdZkO6C+nr76K9XjsiK7zgIR6rYQV2Mbx7rSQSQO3Uompyc1tWtqxm2zx9VyPWxc/iehMSywBeYgoJ2tyXZAxcFiMleqr1nT+X+O/PNFmzTTF7kZ3exW0kjwPHtcezLWZFqzhQW2wBwEtFm3dWtLdbPV6rZm3M4/XyRcJzsDtCV4bqIlFACkCQEtWlKtbot6roxJeYYwSbW7SRorqmBWK3r8DBKHgLYs5S/IQEdRi9mwbtUDI4EqZrXoXhARZhYTp24f2szo0Avy+ObxeGcrlyyRFi4MV3ZQecXK1SuilvDfwaldU3MWfQXJjeY0OT2ptZvWdmFU6LTKn2eYVRexfv0AYoQMbYfFfvpv9erwwXzlFStXr+imoBmUDvwOdqVVFjItcdujAwlBQNtBM1Yv5/O+owCQFe0s46lz0dXotGy5xd7sVntBrbI6pXdBb/1Wf/IdVIZWDKk4WKw6bgBtkPBZn6wjoO2gGVfiExO+owCQFV2sq210WrY4WJQbcnNa7XVlU5FSoD+wfKBmq7+gsVQGtwDajJnHRCOgBYCSoE1F2r7JQshAnw1OACA8AtoI0CcSmZOwLiKVU/vUPCLWmCYHJBHQRiL2C8WAdktYW69MTO3n89LICAFR0jFNDkgioAXQLvm8ZObfDw/7YGl4eM+Xc6M52YiFnrpnJqPDJiYk51raKRCNm7Gwr7/ft04E0DIC2rI1a8hUAK2oDJCGh6WhoRkBbc2p+4CShD0zGRWZxLCdAdKG5vrpMSP7Xyj41on1kE0H6iKgLdu6lUwFEJVaJQkVgXK9zgCJ19/vs9z9/TNuprl+xpFNB+oioAWAbqmXaSsUfGa7kZrjDmbvKPsAkBRsfYtATHEiCpFtFd2tqdxyps2s5YfKjea0c/dODU9Mte0xZ2MBK4CkIEObRSEWIjQTVBAEo1VnXXlW+/q9NiKmK8Vr/U3V3dUsn28qUCcrCyCJyNBmUaEwY7FOLY0EqdT5oVVTu6a6tvVsErT0NxVQb5kbzWlyelJrN61VtUpksrIAkogMbVZUtlRqAEEqWpbP+y4is5AJ7D42iUioKosFAexFQBskja1RWCWLTqkSsO4xMeG7iMyS1ExgUCBOcI4goX4vwrzeFAr+/3fCNigBuomSg7IlS6SFC/3HMa2nA2Kp3kVSf7+0Y4ekuUFtEgUF4kkNztFZoX4veL0B2iJ7GdpqU++rV7fl6nfGLjBAA1L7uxPQPD43mtPIhhG/ACwgwzvj6zGSG81pbONYWx8ztT93AOii7GVoK9vm5PP+8/Hxtl0lVzZ9t5H2t9HpGGq0IlccLGp4/bCGVw5HPZSOm1HLGZDgjbLWs15ngXZL9UYRANAl2cvQVqKudC9qtBBXXb7Y6tZCyDi1uaMGGEDSZTug7bBQU4mlPexzoznZiM2dYg3Y4x7IlGZ2z+qGFv8249RBhBrg7orTxQyQFgS0HVQcLGpoxdCcKcWxjWN7A9fSi3TVKdaKF3GyKIiTOb+PWStbiVuAjcSI08UMkBYEtN1SsTvX1K6ppmrxyKIgTub8PtbJpFadsQixcx0AALUQ0HZLwErvasjEIo2qzVhU/m30LuitWaLDVG2TlixpLXNO6ROAmCOgjaF6mdjcaC527YyQYWEyrCE3KxlYPlBz1X83p2pTFTyX2hLOyJI3UiJCeQWAmCOgTaDJ6Um2rkR8hJl9SGDz+DTWOc7Iksd1sR0ANIGAFoiRVGUF27mFdITbUXd944MYb71dtRsLAEQs2wFt1lZlI/YSnxWsDMbamZWNMMNbtfa3EY3UoNY51ygveqLc8AIAasl2QBujzQTY/hKp0GzgOSsrmbq/hzb+j0n8RU8W5fPSyEiss+9A0mU7oI2RtmSBgKSaFQjz99Cc3GhOIxtGKAmIG3alBDqOgDbOuKpHhqWqnrhLmi0JmLHZC9qP8jag4who46wdV/X0j0SCVAaxTK13T7ObvSAkOkoAHUdAm3b8A0WCxDWITXu2uN6GFlqzhpkiALFGQNtNvCAg6TKa8Y9roN2MoOC83oYW2rqV+k8AsUZAW9aNYHP2CvDhYV8jOzzc+e8NtEMp49/q4qPUdTGIUoP1mWkKzuOO2mSgewhoy6Loczk87OuqCGiRMK32Iy0OFnXpSZemuotB17aopj4ztqhNBrqHgDZqlCEgo9KeKez0FtV9PX3qXdBb/YD+fmnJko59f1SRz/uMeT5fvzYZQNsQ0EYtZGaY/pJAzES8UKo4WNTA8oHqBxQK0urVXRsPSiq603zqFZ9K9SwEECcEtDEUVHfFlpOIHH2RZ2ZFqyyUGt88Xv0B6EeaKWmfhQDiZF7UA8BcU7umNLVrqjvfLMPBCRpUzjyZRT2SyBQHixpeP1zzmML2Qo0v1vhaG/T19GlyepJp7jjify3QUWRoY6irdVdRLIYD0BFVtwwmmIoe/2uBjiKgjUBfT1/NgLVuT8h68nlewNBd/L7FG8EUgJSj5KDDgpqYt7pIoHdBr/adv2/1A2iAjm4jYEq0oP9TudGcJqcntXbTWrGsCUDckaHtsEYWBYTdXrPlDC4QkbRvIdtte57PFjPkQf+nWIgKIEnI0MZI21fE5vM+W5vR7UqTrNzlIm0XLqla9b1kibRwYaRD2PN8kiEHkHFkaBOiqa1CK/ohIlk63ZS/VVneunZPVnT1aqlQiF2PaLLgALKIgDaG9rwgVfSsrLp6GYhAln8fZ2eZ4zY1380seM2euwDQRdkrOUhAY/M9L0id7FnJqnS0iExgCrT4f6Bmz10A6KLsZWgLBWloqOMNzmOPmju0KFX1sB3Q1X7Szarxf2BGWcmSJbFOAgBA9gJaAGiHOtnNPd1IErpl8IyyklK9MADEFQFtwoWuYUtAqQVijt+hmQKym3FbIAYAWUFAm3Cha9gotUCr+B2qK3CBWKEgXXppNM9bg1lhAnIASUVAm2C8+AAJEVXNeoPfN24dGwAgrOwEtCncXGDGi08+76eDE1anByCZuKAGECehAlozW2xmx5vZ/p0eUMekfZqUTRRSK/Jenym8GEQ4tVqzkc0FECd1A1oz20/SFZKOkHS1mS01sz4zuzbg2O+b2WGlj+eXPv+5mb2t7SNHpndrypLIe32m/WIQVdGaDUBShMnQHirpbOfcBZKuknScpC9K6qk8yMxOkfQ759zm0k3vkXSjc+4oSW8wsye0b9iQsr1bEwAAQFndgNY5t8E5d52ZHSOfpb1S0smSpsrHmNliSZ+QtM3Mji3dvFLSZaWPr5G0rI3jbtyaNYmvL2VnpuxIRFN+zJHVWZPcaI5aWgCRCltDa/JB7DZJu51z9886ZEDS5ZIukXSqmZ0on8H9Q+nr90ma8x/ezE43s01mtmnLli1NnkJIW7cmvr6U6b/s2NOUH4lSHCzKDbnM/ewmpyeppQUQqVABrfPOlHSrpBMDDjlc0medc0X5rOxKSTsk7Vv6+sKg7+WcW+ecW+acW7Z06dImhg8A6LiEz24BSL8wi8LONbNTS58ukrQ94LA7JR1c+niZpAlJN0o6unTbcyUVWhopgGikoFwHLYqqjy4AhDQvxDHrJF1mZu+Q9CtJPwo45mJJ/25m50l6UNLrJC2W9AMze7Gkv5J0fXuGDGpp0VVbt/o3AABiqm5A65zbJun4gNtXVnx8j6RXzjrkATM7Xj5L+8/OuUdaGyrKqKUFEIW+nj5NTk/ueQ8AcdHRncKcc/c45y4LWESGTurvl5YsmXs708YAaqjXpYFWgSH09/tdG/v7ox4JkCnZ2fo2SwoFafXqubdTBwe0XZpadWW1S0NbFQrS0BAbkgBdFqaGFgBQBcEfJPktokkaAJEhQ5tmTH2h3ShbAYKRkQUiRYY2zfgHi3YjAwXUx4Uf0HVkaAEAaCcu/ICuI6BNC8oLUik3mtPIhhHlRnNRDwWQRB9sAPGUzYA2jdNBrKxNpXKvz/L78c3jEY4GoA82gHjKZkDLdBASqrC9EPUQgETiYhBIt2wGtACATOFiEEg3AloAQDKNj0c9AgAxQUALAEimyjUDBLdAphHQAgAaFrstfyuC27D1slWPCxkcU5cLxAcBbVqlsZNDhtAaCXFXHCzKDblYbv0btl626nF1usWUA1nqcoH4IKBNKzo5JFrkrZHyed/XmAujpnFRkiyNZFsJZIH4IaAFMNfEhOScf4+mRH5RgrYGqZQXAPFGQAvEWOzqFIEEaWcmlawsEG8EtAnHtGa6FQeLGloxVLNOsVrmiIwS0Br+hoDkIKBNOKY1syM3mtPIhhHlRnMzbq+WOSKjBLSGvyEgOQhogYSYnJ6c8R4AAHgEtGnCinQAqI9NGIDUIaBNE1p1AUB9dfrMzlat3GePfF4aGSGpAERoXtQDANC83GhOk9OTWrtpbeDCsfLX+3r6YtkAH0iCuuU+5TZ3Zl0cFYBKBLRAgtV7oW1L3W1/f/P3BQCgCyg5ADKubmuiQqHhKVog7uqWEQBIFAJaIKGCAtFm+mYGtibq7/fTp2RnkVJ0DQHShYAWiLlqm2cEBaJt65tZKEhDQ2RmAQCJQA0tEHPd2jyDBWRoVSJ+h/J5accO6T1tfExmNIDIkaEFEmh4/bC+95vvNXSf3GhONmLUDKJjujGN3/J2tBMT0tatbRnLHoWC73LAjAYQGQJaIIGGVw7rxGee2NB96gUbxcGihlYMxTezBojtaAEEI6AFUqyvp2/GewAA0oiAFkgxsjudfuYAABEISURBVK5A54xtHKOEB4gJAloAQPyNj1f/WkRbz07tmqLtFxAT2elysGSJtHBh1KMAADSj1oIrtp4FMi87GdrVq1mBilRreOejWhkvIO4iysoCiKfsBLRAwtVb4NVwyyQu8NBhLbfYqqWclZ2YCPwyW9sC2UJACyQEC7yQNFG22Gq6J24+L61Z0/4BAeio7NTQAgBQT5WML4B4I0MLJBh9ZpFZXdhulrZcQHIQ0AIJkl+Un/E5ZQjIrEJBGhrqaC14vbZcvQt6uZgEYoKSAyBBVh22KuohAImTG81pcnpSazetVfnSr6+nT5PTkw0HpJWPNbB8QMMrh9s+XgCNI0MLAEi1oAVizc5uNL3YDEBHEdACCTe7DKFR1Aki62jxBSQfAS2QcK2WIbB9J+KqXX1sW+3hXHl/FmIC8ZT+gJbdkAAgkdrVx7ZaeUF5dqNakFoOYIuDRV160qUqDhZZiAnEVPoDWnZDAmpipTayqjy7US1ILQewlccCiKf0B7QA5qrYDWlg+QDZJgBAotG2C8gidkNCG5Uz/NRiA4hKdjK0+XzUIwA6isUqiErl1DwARCHdAW0+L42M+PerVkU8GKCz6i1WIeBFHDTVuaDyf3mQgG1wm/597+/v6Ha6ADoj3QHtxITkHNOryLTySu4ZAW9/v7RkSbQDQ6aUA9mmOhfU+19eKPivVywCbrobQaHAYmIggdId0AIIXp1dKEirV3d7KMiwdrXgipNWNzUB0D4EtACArmnrznQNrI3oRPBJKy8gPghoAQBd09ad6QLWRuRGcxrbODb3UIJPINUIaAEEozMIItDqdreT05Oa2jVV/YAq9eOUDwDJRkALJFTHX4DpDIIIdLzWtkr9eCMZXIJfIH4IaIGEYgoVSVGtDKAZ9Wpw+3r69rTq6lTgyd8eED/sFAakUG40p527d2p45XDUQ0GG9PX0aXJ6ck7v13buIDa1a6pmSUFlmy4CTyA7QmVozWyxmR1vZvt3ekAAWle3jhDogKZ7vwJAi+oGtGa2n6QrJB0h6WozW2pmfWZ2bcUxB5rZ781sfeltqZntZ2Y/MLNNZnZJB88BABAzudGcRjaMtK9FFwDUECZDe6iks51zF0i6StJxkr4oqafimCMlXeCcW1l62yLpLZK+6pxbJukJZraszWMHAMRUucygneUGAFBN3YDWObfBOXedmR0jn6W9UtLJkirnM18o6R1mdpOZXVi6bauk55jZIklPlfR/7R06AAAAEL6G1uSD2G2Sdjvn7p91yJWSVkp6gaTlZnaopJ9J6pf0Xkm3S7ov4HFPL5UkbNqyZUvTJwGgCfSZRVbxuw+kTqiA1nlnSrpV0okBh/zCOfeAc+4RSTdLerqkIUnvds59SNL/SDot4HHXOeeWOeeWLV26tOmTANAE+swixjpag8vvPpA6YRaFnWtmp5Y+XSRpe8BhV5nZk8zs8ZJOkPQrSftJ+msz20e+xta1acwAgJSjBhdAI8JkaNdJeouZXSNpH0k/CjhmRNLVkq6TtNY59xtJF5Xue7+kxZK+HmZAudGcbMRYGQs0gR2MELXy72C5F+3snrQA0Al1N1Zwzm2TdHzA7SsrPr5a0l/O+vovJT270QFxVQ40j0byiFr5d7A4WNTw+mENrxyWjVi0gwKQemx9CwDoCGYMAHQLAS0AoCOYMQDQLQS0AIDIjW8eD3VcX08fdbkA5qhbQwsgPZgCRlwVthckSWMbx7R209qqxxUHi10aEYAkIaAFMoQpYMTd1K4pTe2aqn8gAFSg5ADAHmRw0VXj41GPAEBKENAC2IMMLrqqUAh3XH+/ZObfA0AAAloAQGz0Luidu+irUJAuvTR8AAwgcwhoAQCxMbB8QMXB4tydxlatim5QAGKPgBYAEDvFwaKGVgzR1QBAKHQ5AAB0VF9Pn3bu3hn1MACkGBlaAEBHFQeLGlg+EPUwAKQYAS0AAAASjYAWAAAAiUZAC2QcmykAAJKORWFACs3p41kDmykAAJKOgBZIIVodIQ2YPQAQFiUHAIBI5UZzGtkwotxobsbtzB4ACIuAFgAQqcnpyRnvAaBRBLQAgNigzABAMwhoAQDdl89LIyP+fQXKDAA0g0VhAIDum5iQnJPMoh4JgBQgoAUAdE3vgl7tO39fSdTLAmgfSg4AAF0zsHyAtnIA2o6AFgAAAIlGQAsAAIBEI6AFAHRcrXZc5a2aG9myGQAqEdACADquVjuu4mBRQyuGqK0F0DQCWgAAACQaAS0AAAASjYAWAAAAiUZACwDovv5+v0tYf3/UIwGQAgS0AIDuKxSkoSH/HgBaREALAACARCOgBQBErlafWgCoh4AWANA11QLXWn1qAaAeAloAQNcQuALoBAJaAAAAJBoBLQAAABKNgBYAAACJRkALAACARCOgBQBEI5+PegQAUoKAFgAQjVWroh4BgJQgoAUAAECiEdACAAAg0QhoAQAAkGgEtAAAAEg0AloAAAAkWjoD2vHxqEcAAACALklnQFsoRD0CAAAAdEk6A1oAAABkBgEtAAAAEo2AFgAAAIlGQAsAAIBEI6AFAABAohHQAgAAINEIaAEAAJBoBLQAAABItFABrZktNrPjzWz/Tg8IAAAAaETdgNbM9pN0haQjJF1tZkvNrM/Mrq045kAz+72ZrS+9La342r+a2as7MnqJbW4BAAAyLkyG9lBJZzvnLpB0laTjJH1RUk/FMUdKusA5t7L0tkWSzOzFknLOue+3edx7lba5Hd883rFvAQAAgPiqG9A65zY4564zs2Pks7RXSjpZ0lTFYS+U9A4zu8nMLpQkM5sv6d8kFczspPYPfabC9kKnvwUAAABiKGwNrckHsdsk7XbO3T/rkCslrZT0AknLzexQSadK+m9JF0s6wsze065BAwAAAGWhAlrnnSnpVkknBhzyC+fcA865RyTdLOnpkg6XtM45V5T0FUnHzr6TmZ1uZpvMbNOWLVuaPgkAAABkV5hFYeea2amlTxdJ2h5w2FVm9iQze7ykEyT9StKdkg4ufX2ZpInZd3LOrXPOLXPOLVu6dOnsLwMAAAB1zQtxzDpJl5nZO+QD1R8FHDMi6WpJuyStdc79xszukfQFM/s7SfMlvaFNYwYAAAD2qBvQOue2STo+4PaVFR9fLekvZ339AUlvbH2IAAAAQHXp3imsv18y8+8BAACQSokJaJvqM1soSM7t6VULAACA9ElMQEufWQAAAARJTEALAAAABAnT5SAyudHcno8npye1dtNaFQeLEY4IAAAAcRPrDO3k9OSet/Ln1YxtHPMBcD4vjYz49wAAAEi9WGdoGzG1a0pTu6b89g3O+e4GAAAASL1YZ2gBAACAeghoAQAAkGixC2j7evpmvG8YmykAAABkSuwC2uJgUUMrhmp3Mxgfr/61QkEaGmIzBQAAgIyIXUAbCsEqAAAASmIZ0OYX5aMeAgAAABIilgHtqsNWRT0EAAAAJEQsA1oAAAAgLAJaAAAAJBoBLQAAABKNgBYAAACJRkALAACAREt2QJvPS2vWRD0KAAAARCjZAS0AAAAyL9kBbaEgrV4d9SgAAAAQoWQHtAAAAMi8eVEPoGH5vDQxIY2P+wxtSe+CXu07f9+oRgUAAICIJC9DOzEhOeffV/j/27u/EDvuMozj34emgTSKSemy1F5kEQIimAZJ0yy2dalJUBQRESr4h7UGb4oXkYBKlRKxvRJBxFqCRYqgUBFFxZB4kdhg/dM0gdKb3kiqlS6uWJsqhZbwenFO7HYzJ9nYNDNz5vuBw878zuzhhXn5zbOzM2f2z+9n6cBSS0VJkiSpLf0LtKvNzbVdgSRJklrU/0C7uNh2BZIkSWpR/wNtE8/aSpIkDcZ0BlrP2kqSJA3G1ATauU1zbZcgSZKkFvQi0M5unH3dzyaL2xevUjWSJEnqkl4E2qUDS9z3vvv8Wi5JkiRdoBeBVpIkSZqk008Km904y8uvvtx2GZIkSeqwTp+hXTqwxP75/W2XIUmSpA7rdKCVJEmSLsVAK0mSpF4z0EqSJKnXDLSSJEnqNQOtJEmSes1AK0mSpF7rX6DdsgWS0U9JkiQNXqcfrNDozJm2K5AkSVKHdP4M7dymubZLkCRJUod1PtAubl9suwRJkiR1WOcDrSRJknQxBlpJkiT1moFWkiRJvWaglSRJUq/1JtD6bQeSJElq0ptA67cdSJIkqUlvAq0kSZLUxEArSZKkXjPQSpIkqdcMtJIkSeo1A60kSZJ6zUArSZKkXjPQSpIkqdcMtJIkSeq1NQXaJNcn2ZPkhje7IEmSJOlyXDLQJtkM/ArYCRxLMpNkNsmJFdvclOS5JMfHr5kV780mOf2mVC9JkqTBW7eGbbYBX6yqP4zD7Z3AZ4GNK7a5Fbi/qr7X8PvfBDa84UolSZKkBpc8Q1tVvx2H2TsYnaU9DNwFnF2x2S5gX5JTSR44P5jkTuA/wNKVLVuSJEkaWes1tGEUYl8AXq2qF1dtchhYAG4B5pNsS7Ie+Brw5Yt87ueTnExycnl5+f+pX5IkSQO3pkBbI/cATwEfadjk8ap6qarOAaeBrYyC7INV9a+LfO6hqtpRVTtmZmYmbSZJkiRNtJabwr6U5DPj1U1AU0A9kuTGJNcBe4Gngd3APUmOA9uTfP8K1SxJkiT9z1puCjsEPJpkH6OgerRhm4PAMeAV4KGqega44/ybSY5X1b4rUK8kSZL0OpcMtFX1ArCnYXxhxfIx4J0X+YyFSe9JkiRJb4RPCpMkSVKvGWglSZLUawZaSZIk9ZqBVpIkSb1moJUkSVKvparargGAJMvAs+PVG4B/tFiOusm+0CT2hprYF5rE3uiPLVV1yadvdSbQrpTkZFXtaLsOdYt9oUnsDTWxLzSJvTF9vORAkiRJvWaglSRJUq91NdAearsAdZJ9oUnsDTWxLzSJvTFlOnkNrSRJkrRWXT1DK0mSJK2JgVaSJEm91rlAm+ThJL9P8tW2a1F7kqxL8pckx8evdyc5mOSJJN9tuz61I8lskhPj5WuT/DLJ75LcPWlMw7CqN25K8tyK+WNmPO7xZSCSvC3J4SRHk/wsyfqm/W9PTI9OBdokHwOuqap54B1JtrZdk1qzDfhxVS1U1QKwHrgN2An8PcnuNovT1ZdkM/AIsHE89AXgyap6L/DxJG+dMKYp19AbtwL3n58/qmrZ48vgfBL4VlXtBZaAT7Bq/9sT06VTgRZYAB4dLx9lFGA0TLuADyf5U5KHgfcDP63RXYxHgNtbrU5tOAfcBZwdry/w2nzxGLBjwpim3+re2AXsS3IqyQPjsQU8vgxGVT1YVb8Zr84An+LC/b/QMKae6lqg3Qj8bbz8T2C2xVrUrieA3VW1E7gW2IC9MWhVdbaqXlwx1DRfOIcMUENvHGYUVm4B5pNsw94YpCTzwGbgrzhfTLWuBdp/MwouAG+he/Xp6nmqqp4fL5/E3tCFmnrCPhHA41X1UlWdA04DW7E3BifJ9cB3gLtxvph6Xdt5T/LaKf+bgTPtlaKW/TDJzUmuAT7K6C9pe0MrNc0XziECOJLkxiTXAXuBp7E3BiXJeuAnwFeq6lmcL6beurYLWOXnwIkkbwc+yOg6KA3T14EfAQF+AXyDUW98G/jA+KVhewT4dZLbgXcBf2T078PVYxqeg8Ax4BXgoap6JsnzeHwZks8B7wHuTXIv8APg06v2f2FPTI3OPSlsfLfqHuCxqlpqux51R5INwIeAU1X157brUfvGB6LbgCPnr6FsGpPA48vQNe1/e2J6dC7QSpIkSZeja9fQSpIkSZfFQCtJkqReM9BKkiSp1wy0kiRJ6jUDrSRJknrtv8tV63zkLHEpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询2017年1月1日至今的日线数据\n",
    "k = s.getKData(QueryByDate(Datetime(201701010000)))\n",
    "\n",
    "#查询2017年1月1日至3月31日日线数据\n",
    "k = s.getKData(QueryByDate(Datetime(201701010000), Datetime(201704010000)))\n",
    "\n",
    "#查询2017年1月5日1分钟线数据\n",
    "k = s.getKData(QueryByDate(Datetime(201701050000), Datetime(201701060000), kType=Query.MIN))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.3 查询复权日线\n",
    "----------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sz000603']\n",
    "\n",
    "#查询股票最后100个交易日K线数据，不复权\n",
    "k = s.getKData(Query(-100))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yrHa7Yjc98foTXV/ve+k+DehXmV4oQRUAGtT1T1+vcw84V/d+7V61NLVo6otTddu827TOrdMjpz2i+Uvn67+L/6ulq5bqlDtO0crVK7vue/Y9Z2vyMZM1a/ws3TrvVr289GVd/vjl2ucD++jhUx/WLf+5RW+//7aeWvCUJh8zWfFxce04dEe9vPRlXTX7Kl35mSv1j1P+oVdXvKqnFz6txKEJTW+brult07XHqD108l4n56w513NU2ktLXtL37vuelr+3vOuyR197VIkZCa1ZX3jo9PZ5t+u3T/xWTsFQ7ftr39e0l6Zp5viZuvPLd+rCBy/Me9/xHx2vEZuP0MR/TtSNz9zYdbrooYv0iR0/oS/v8eW89738sct15/N3drvsvPvO05w35/T6esffOV6vLH+l6/zidxdrtxG7df0+PrHTJwo+76b9N9WAfgM0fLPh2nXErho2aJhWrVlV8vPOeWOOZr06S49//XGNahql++ffn/N+uep74+039NsnfqtHT3tUR+10lK7793V5n/dXj/6q6/t317yru56/S8m5SR107UGK/TqmU+86teI1f373z3fV+4Xdv6Az9jmj6J/zfxb9Rxc+eKGGbz5cJ912kq751zVdnfffPP4bfXu/b3e9lvvmBwHw+cXPq2NZh47+y9FdgXGn3+yU93Xl8uSbT2pU0yg9cPIDOmf/c/Sbx35T9O0+tt3Hul7Xt/f9tk7f53Q9mHpQE4+cqAdTD2rhyoUa1TSqpHryIagCQIP61r7f6vrjuOjdRRrVNErTU9P1pQ9/SZJ05E5HatYrs9S/X39N+eIUbTVwq677Llm1RNsN3k5mpuGbD9eK91d0u+8hrYdo9huz9cUPfVGtQ1p19wt3a+l7S7XzsJ11yeGXaPeRu0sKQseIzUd0Pe4Trz+hbbfaVttstU3OmnM9Ry5r1q0pOB9vzbo1Wrd+nSTp5aUv67vTvtt13ZYDt9StX7q12+2322o7/eFzf8j7eBljth6jnxz+k67zAwcM1PXHXa9+1q/rZ1zIiM1H6PAdDtdROx/VdTpsh8M0aMCgbre78okru3Xgjt3tWH1r3291u8239/u2Prfr53qt+ZLDLtG+W+/bdf6x1x/T468/rgOvOVDH3nhs3g8Dry5/VbPfnN3V3btv/n066s9H6f6X79eXbvmSDrvuMN31/F1dtz/jr2do0cpFeZ93RscMfWH3L8jM9MmdP6mZHTNzPm+u+h597VEdudORGjhgYHDfV3Lft5/1Uz/bEG2umn2Vthu8nSYfM1kXHXqRztjnDF1/3PUVrzlj1ZpVunf+vTpu9+OK/jnvOHRHzXtrnu5+4W4tXLlQ/z37v9pj1B5a59bp7P3OVssWLVq9brX6W3/tOWpPxYbEdPgOh8vMtO1W2+rY3Y7Vsbsdqz1H7dntcXu+tp72/sDe+tHYH0lSwfdub7f7/Zzf66x9z1I/66dVa1Zp/tL5+uDwDxb8OZWCOaoA0OAeefURLX1vqQ7Y9gBdPedqbbNlEBKHbTZMTy57sltAzThou4N0xeNXaNhmw5RaltJHmj+ilWtWdrvvgpULJEnvrH5HN/3nJrUObu2aRydJU56Zog+P+nC3eWq/fuzXSoxLKJ98z9HTpQ9fqtufu11bbLqF/t35b51464natP+menHJixqXHKeVa1bqsiMv0yGth2iHoTvosk9e1nXfXH+Qt9lqm4JDnxnbDd5OLy19Ked1591/nr5/8Pfz3vfXj/5atz93uyTp+cXPd7vuq7d9VZ/b9XM692PnSpLO3PfMjZ43Vy3F6Hm7HYfuqGknTdMuw3fRhQ9eqMlzJ+s7+39no/ttNXArXXbkZfr234OO3id2/ISSxyZ1+WOXa+dhO+tTu3yq2+2v+uxVBZ935eqV2mlo0PUr9LvNVd/QQUO7vy/eyX3fnlatXaXjP3S8pr00TSveX6E9Ru1RlZoz/vTUn3TiHifmfR25fs6DBgzSTcffJOecfjf7d5Kk7933PT322mP67A2f1faDt1fbXm06YY8Tut3vqQVP6bm3nus2ZWTSnEk6fZ/TN3ptVz5xpaY8O6Xr/LDNhum2E4IpEktXLdWkOZM0vW16wdeW63b3vnSvDt7uYA0cMFBHf/BonXrnqTo0dqhueOYGPdTxkL530PcKPmYxCKoA0MCWrFqis+85u6uDuMWmW2jV2mDY9p3V7+RcNS9JVx19lR5MPagLH7xQ5x10nsys676DNVjvrH5HW2y6hSRpyKAhuu7Y6/S127+mJ15/Qvtvu7/mL52viY9M1P1f2zBUuuy9ZVq4cqF2GpZ/iDLfc/T0w0N+qB8e8kNJ0h6/20OzTp2lftZPo38/utc/uNXwf4/8n3YfsbvGxcblvc38pfP1q6N+paZNmvTsome7Lt99xO5as36Nrp5zdQ0qDQLUJv02kRR0iPPNnRw8aLAGDxrc7TLnnD408kOa8+acjYJqb4p97+Wq77AdDtPrb7/e631XrVmlt1e/rdvm3aa169fq/I+fr4UrF+rk20/WJv030Z8/X9oCu2JrzrjhmRv016/8Ne/ryGfJqiV66923NLD/QG192daaffpsvbbiNe39gb119AeP1n7b7LdRd3Tl6pU6YscjdMSOR+j++fdrXGyc7vnvPTkf/8x9z9zow48U/D5Pu+s0XXzYxRq22bC89eW73bX/urZrhGG3Ebvp/pPv19QXp+ruF+7Wc+8XnnNdLIb+AaBBrV63WsfffLx+evhP1TqkVZK0z9b7aNYrsyRJ/+78t2JDYjnv279ff+06fFdJ0lf3/Gpw3w9k3XdBcN8z/3amHup4SFIQRIcMGqKlq5bqK7d+Rdd+7tpuQefO5+7Up3f5dMGacz1HITc+c6PGbD2m23Bvrd39wt2a+tJU/eyInxW8XabbfM+L9+iNt9/QkEFDlFqW0h3P3dHt+mq74IEL9NcXgjB1y39u0V4texV1v9XrVuvLt35Ze7XspXteDALRwpULi37eYt97ueor9r6d73Rqv63302YDNlP/fsGUhVFNo7Rp/001fLPhGwXvStUsSallKQ0eOLjrw1UpP+c7nrtDj7/+uO76yl06cqcjtWn/TSVJh+2wYXpF9tZVf3n6Lxq++XDd8dwd+umsn+qO5+7QpQ9fWvJ76PwHzteeo/bsdQpJrtutWrNKryx/RTsO3bHrsnv+e4+O2vkomVnF3s8EVQBoUNc8eY2efPNJXTLzEo1LjtOUZ6bo2N2O1Z+e+pPOnXaubvrPTfrMLp/Je/8fPvhDXXrEhj9+p+x1iuLT4zrnnnP0n0X/0f7b7K//Peh/df4D5+vjkz+u/bbeT7uO2FU/m/UzvbL8FZ19z9kalxynGakZkqRpL03TIa2HdD3+P17+h654/Ipuz5nrOfJ57LXHdP4D5+tHh/yo67L31228orvnHNVi/fKRX3aFlEJOvetULVy5UEf88Qh96vr8XcbMXplDBw3Vjc/cqPbp7bp13q0a2TSy67qMnnNUi3XclON6vc25HztXl8y8RHv8bg8N7D9Qp+x1Su4bJpOSpHVunRatXKS/vfA3jdx8pN5d8672HLWnJs2ZpFPu2HDf3uZEHrz9wfpX5790zj3n6GcP/0xf2eMrWrJqib5+19d7rW/7wdtr0IBB+sZd39B3pn5H40ePz/kcOwzdQVcefWW3bu9Vs6/S26vf1vyl83XbvNu6/awrVbMUDINnv7+L/jlLuuv5u3Tsbsd2u+zt1W9rZsdMTXtpmpauWqrhmw/XhAMnaL1br5uPv1l7jtpTi1ct1qvLX9XiVYv12orXut2/t9c2b9E8/fyfP9f0jukalxynH9z/A0kbv4fy3W7mKzM1Zusx3W7r5LT5Jptr1dpVBTu0JXHOVfW0zz77OACAP5a8u8RNeWaKe/PtN0u+7+srXndTnpnilq1aVoXKin+Oxe8udgdec6Cb1TGr2+Xb/XK7qtXVV2fdfZb715v/2ujy99e+7w6ZfIi7es7VIVRVQDzuVq9d7fa/en/3zvvvuEdefcQ9/9bz7rvTvuveXf2uO/WOU93dL9xd0kO+u/pdd/OzN7uXlrxUcjlr1611d8y7wz294Omibn/wtQe746Yc586deq57b817bvl7y93Zfz/bfetv36pZzcV4eenL7ui/HO2cc+7KJ650O/16J/f6itfd8EuHu+kvT3dT/zvVfe/e73Xd/pDJhzjnnHso9ZC7aMZFXZfP7JjpzrvvvKrUWA2SZrsicqS5Hp/iKm3MmDFu9uzcqzYBAECwf2dmqNob7e3BqY6tXb+2Yvt5VtPSVUs1dLOhWrhyoQb2H6jBgwZr0cpFGtk0UlKwP2zP6S1r1q3R2vVrtdkmm4VRcp+Z2Rzn3JjebsfQPwAAIfMupDaIAf0GdE1h8NnQzYZKCubTZubRZkKqpJxzsDfpv0ndhtRSEFQBAEDjSqXCrgB9QFAFAACAlwiqAAAA8BJBFQAAAF4iqAIAAMBLBFUAAAB4iaAKAAAALxFUAQBA8epgX1I0DoIqAAAoHvuSooYIqgAAAPASQRUAAABeIqgCAADASwRVAAAAeImgCgAAAC8RVAEAAOAlgioAAAC8RFAFAACAlwiqAAAA8BJBFQAAAL1Kzk3W/DkJqgAAAOhValmq5s9JUAUAAICXCKoAAAB9FMaweBQQVAEAAPoojGHxKCCoAgCAcCSTYVcAzxFUAQBAOFKpsCuA5wiqAAAA8BJBFQAA1D+mETQkgioAAOhdLCaZSYlE8DUWC7ui7phG0JAGhF0AAACoAx0dknMbzpuFVwsig44qAAAAvERQBQAAgJcIqgAAAPASQRUAAPQZhxBFNRBUAQBAn3EIUVQDQRUAAABeIqgCAACvMI0AGQRVAADglYpNI4jF/D1AAYrChv8AAKAxZR+kgAMU1CU6qgAAAPASQRUAACAqYrGgu5w5eT4lgqAKAAA2yASZSs7tTCb7/hiojMx0iMypoyPsigoiqAIA0OhKCYrVCDKpVN8fA5FEUAUAoNERFFGnCKoAAADwEkEVAADUr2rMqYU32EcVAACUrWViixasXCBJSsxIqLmpWZ0TOmtXQPZeqVJ190tNJqW2tm4Xhf76Kyj7tUjy4rUQVAEAQNmyg02u86Fqbd0QXFtb+/54Oeb6ev36S+Tja2HoHwAANKZUSorHg44rC8rqEkEVAAAAXmLoHwAA1K/s4f3MeTQMOqoAAKB+pVLB0D5D/A2JoAoAAAAvEVQBAADgJYIqAAAAvERQBQAAgJcIqgAAAPASQRUAAERScm4y7BLQC4IqAACIpNSyVNgloBcEVQAAUD+SybArQA0RVAEAQP1gQ/9IIagCAAD/xWLBoVITieBrLFa956Jr640BYRcAAAAgSS0TW7Rg5QJJUmJGQs1Nzeqc0Blc2dERHCI1w6x6hdC17abg76XK6KgCAICyNTc1FzyfU57uaCYMZfQ8j3CE+XuhowoAAMqW6ay1T29X+7j24u5Uy+5oDmF2CGstOTepttFtYZdRNjqqAAAgUqLUua33LbgIqgAARFW1Fw3lWwDV2hqcz5xaW6tbB+oWQRUAgKiq9qKhzBB/5tTRseF5nZPi8eCrL4uXarmzQAOp5hG+CKoAAABS/mAtBaGVAJtTNacXsJgKAACgN9kLwGq8+CvK6KgCAAAvlLXVFRoaHVUAAOCFsra6Qmhqsc0XQRUAAKA3mZ0KMt+jJtt8MfQPAADqX74FTpVa+JRKhb5LQTVX1/uKoAoAALwSGxIr/U5tbaVdXofqffP+chBUAQBA72q4SX89H/Kznvm4mI05qgAAoHe+bMqPqvFxMRtBFQAAVEf2AqTMeaAEDP0DAIDq6O1QqaUsdKrh1INKqscFUGXNEa4SgioAAAhHKQudegu9nqrVAqhKBmKf5ggTVAEAAHySTJZ8l0bdEaCooGpmzWY2M+v87mZ2Z/XKAgAAfRaLBcPkiUTwtVJ7iuZ6Ko+Gi+tenXSLa6HXxVRmNlTSdZKa0ud3kvQLSVtUtzQAANAnHR3BMHlG9sKmCvNpuBiNo5iO6jpJJ0hakT7/tqQvVK0iAAAAQEUEVefcCufc8qzzC51z7xe6j5mdbmazzWz2okWLKlEnAABAuKo4dcJnYR4IoCr7qDo0Z7HXAAAdhklEQVTnJkmaJEljxoxxvdwcAADAf3V0ONaWiS1asHKBJCkxI6HmpuauDf1LFeaBAFj1DwAA0GAyITXf+XpBUAUAAECvwtjZoeihf+fcuELnAQAAUFv5hvibm5q7dVErMa80jJ0dqjJHFQAAoEtEFyHVQr4h/jDnlVYSQ/8AAKC66mgRUqhqeICGekFHFQAAwAc1PEBDvSCoAgAQNbFYEIqkoHvX2sphO33Q2to9nLa2SqrsVlP1hqF/AACiJtO5y5wyobUeNPJweCoV/D7i8eArHx4IqgAAoI400nzXZLKom3VO6JSLO8XHxuXiLjLdVImgCgAAEA46pr0iqAIAAMBLBFUAAIAy9dxIvxIb62MDVv0DAACUqayN9bN3XUgmazsFIM/OAr6iowoAAFBL2bsu1HrHhTrbWYCgCgAAAC8RVAEAABpUbEgszxV5LvcMQRUAAKBO9baYq210W+471sl+tCymAgAAqFNlLeaqIwRVAACips5WfiO6GPoHACBq6mzlN6KLjioAANiAbis8QkcVAABsEOVuayakZ06E9NDRUQUAAJCiFcrrBB1VAAAQKb1t6QR/0FEFAAAbq5MN4cvR6Fs6NRI6qgAAYGN1siE8wlOLzjQdVQAAAJSsFp1pOqoAAAB1IDYkFnYJNUdQBQAAqANto9vCLqHmCKoAANS7WGzD3p8NvAgK0cMcVQAA6l1HR7A5v9T9qFJAnaOjCgCSlEyGXQEABOiKdyGoAoDEEWmACPJ2cRJbg3Vh6B8AAERSNRcntUxs0YKVCyRJiRkJNTc1d23nhOLRUQUAAKiwTEjNdx7FIagCAADASwRVAAAAeImgCgAAAC8RVAEAAOAlgioAAFHFfp3wHEEVAICoYr/Oigl7T9awn79a2EcVAIBG1dra/ZCqra3h1dLgqrknaz08f7XQUQUAoFGlUpJzUjwefOUIbKgzBFUAAAB4iaAKAAAALxFUAQAA4CWCKuCJ5Nxk2CUAAOAVgirgidSyVNglAADgFYIqAAAAvERQBRAdyWTYFQAASkBQBRAdufaQjMWCDdETieBrz0NKEm4BIDQcmQpAtHV0BBuhZ2QfxUdig3QACBEdVQAAAJQtNiRWtccmqAIAAKBsbaPbqvbYBFUAAAB4iaAKAAAAL7GYCkC0tbZ2X0DV2hpeLQCAbuioAoi2VCpY9R+PB19Z5Q8A3iCoAgAAwEsEVQAAAHiJoAoAAAAvEVQBAADgJYIqAAAAvERQBQAAgJcIqgCQSywW7K+aSARfY7GwKwLKx/sXdYoN/wEgl46OYF/VjOyDAgD1pq0t7AqAstBRBQAAgJcIqgAaH8P4AFCXGPoH0PgYxgdQY81NzVqwckG38ygdQRUAAKDCOid0SpLap7erfVx7uMXUMYb+AQAA4CWCKgAAALxEUAUAAICXCKoAvJacmwy7BABASAiqALyWWpYKuwQAQEgIqgBQBjq9AFB9BFUAKAOdXgCoPvZRBQAAqKXW1g0HHmltDbcWzxFUAQAAaimVCruCusHQPwAAALxEUAUAAICXCKpArSWTYVfQOKr5s8zMIcucmEcGADVHUAVqjblJlVPNn2UqJTknxePBV35vAFBzBFUAAAB4iVX/AFCCloktWrBygSQpMSOh5qZmdU7oDLkqAL6KDYmFXUJdo6MKwA91Mnc3E1LznQeAbG2j28Iuoa7RUQXghx5zQOlcAgDoqALwEp1LAABBFQAkKRYLuwIAQA8EVQCQpLa2sCsAAPRAUAWASquThWEA4DuCKgBUGgcHAICKIKgCQKXEYsHhVhOJ4CvzXgGgT9ieCgAqpaMjONxqhll4tQBAA6CjCgAAAC8RVIE6kJybDLuE6onAcHnLxBZZwrpOLRNbwi4JAOoCQ/9AHUgtS4VdQvVEYLicgxcAQHkIqoDHOIyoBxqwwwsA9YKhf8BjdOI8wIEAACA0dFSBWonFgmFuKZiP2doqpVJ0TQEAyIOgCtRKnrmYdE0BAMiNoX8AAAB4iaAKoOE09HZeABAhBFUADaeht/MCgAgpKqiaWbOZzUx/v4mZ/dXMHjazU6tbHgAAAKKq16BqZkMlXSepKX3R2ZLmOOcOkvRFM9uyivUBAAAgoorpqK6TdIKkFenz4yTdlP7+IUljet7BzE43s9lmNnvRokWVqBMANgjxsKvNTc0FzwMAKqfX7amccyskyTYc1rBJ0uvp75dI2uh/aefcJEmTJGnMmDGu5/UA0CchHnY1s8dt+/R2tY9rr9nzAkAUlbOY6h1Jm6W/36LMxwAQVclk2BVUT2trEJozp9bWsCsCgLpWTsicI+ng9Pd7SUpVrBoAjS+VCruC6kmlgk5vPB58beTXCgA1UM6Rqa6T9Hcz+7ikD0l6rLIlAQAAACV0VJ1z49JfOyR9QtLDko5wzq2rTmkAAACIsrLmlzrn3nDO3eScW17pggBUWSPPEQUANBQWQgFRw7xJAECdKGeOKgAA8Elmx4nM90CDoKMKhIwN5AH0WWbHicmTGTVBQ6GjCoSMDeQBVExbW9gVABVFRxWAlwp2mj3YWD82JFbgyu7X0TUHgPIQVAEEPNsNoHNCp1zcKT42Lhd3XZ1nSRuGOTOnEIY620a3Fbiy+3UFXwtQouTcZNglADVDUAUQKCPs8QcTqL3UslTYJQA1Q1AFPOb7kDF/MAEA1cRiKsBjLLQCAEQZQRVAw2iZ2KIFKxdIkhIzEmpuag7CfvYek1Jo+0wWXIAFANgIQ/9AHavJHFHPFlkVkgmpG53PLL6Kx0NbfCX1sgALALAROqpAHStpjmgsJnV0BN8nEkFXsZjAluM2eTuXxT5/Msmm5ACAXhFUgajo6Ai6iRnZQ+Elytu5LPb5+/DcAIDoYOgfAAAAXiKoonHV0dzKUrVMbJElTIkZCVnC1DKxJeySqoYFSAAQXQz9o3E18BzIsobe61QpC5Cam5q7/Sx823cW6Iuy5oYDdY6gCqBhsO8sGlmUPqACGQz9AwAAwEsEVcATzMUEAKA7girgCTaDBwCgO4Iq0IgaeMeDRlSTI4wBQB0iqAKNqIF3PGhEJR1hLEr4wNVNz10s2NUCUUBQBaIuFguOFJVIBF9jsbAr6jPm+zYIPnB10zmhUy7uFB8bl4s7tqZCJBBUUf/ouhSntTUIoplTa2vYFVUN830BoDEQVFH/6LoUJ5WSnJPi8eBr5ueW73IAAELGhv8AwpXp9Gafj5DM0YY40hAAbIyOKoBwRbyjm310IY40BADdEVSBRhOLNdTCKABAdDH0DzSajo6gMyl1H1IHAKDO0FEF6gDbLQEAooigCtQBtlsCAEQRQRVAbWTv4xqxlf1AWdgjGiCoAqiCXH9gs1f3R2xlPyovOTcZdgnVx78TgKAKIC3XDgHl7iDAH1hUWWpZKuwSANQAq/4BBNraNr6MHQQQhlgseO9JwQel1tauDz+ZAyRI4iAJQAQQVAH4gT1fkZH9AUnq9iGp50EROEgC0NgY+kf9isWCP2CJBCGnEeTq6AJRlP1/GwfuQMTRUUX9YlgaQCMq0FEGooaOKgAAALxEUAUAAICXCKpANjbYBgDAGwRVIFsU9v9kYQYaGR82gYZCUAWippTV9Y122FNCeuOr5IdNT0NvbEgs7BKAmiGoAsgvlQoOeepcY3Sb2QILpfD0Pd82ui3sEoCaIagCAADASwRVAJXDRuWhS85Nhl0CAFQMQRWNh7AUnsxG5ZlT5njtqJnUslTYJUSbp/NagXrFkanQeDiqC4CweDqvFahXdFQBFEZHGg2AKRFAfSKoInL4g1UiVsr7qYJDzFH4N8GUCKA+EVQROTX7g8Vctdzo0FZGOUPMed6ThLgKYG48UBXMUQWqhblqudGhDQ/vyephbjxQFXRUAQAA4CWCKgCgYbVMbJElTIkZCVnC1DKxpe8PyrQeoGYIqgCAhrVg5YKC50sWi0njxzMPFagR5qgCAPJLJutjXnEstuEAE4mE1NpanTm52XNRi5iH2jKxpVs4bm5qVueEzsrXBTQogioiI/sPRmJGgj8YqE+1CmQZ9bIAy9PFTBXv6AIRQ1BFZPAHAw3B00AWea2t3X8Xra3h1QI0EOaoAgBKFoWDBJQklQo+QMTjwdd66UQDnqOjCtSh5qbmjea9ARWVPcUgmewKXtlTaMbfOd6fKTR0NIGGREcVqEOdEzrl4k7xsXG5uKt5UOgZjAnK9ang1k2ZKQbObQis8ngKTSU7mjU8yhSdaaAwgirQaDKdJbOqdZXyBuXs567i8yO3loktuUNnnuDlbegsoNcPSZUIldkhvUdQL1Vv9XL4WqAwgioiIzJdwFQqvHlyzNMLVXbQ7BY6Kxi8wtbraEK1t9Iq8YNgoXrzfrAA0IWgisgIe7gcQAOo4AfBvB8sAHQhqAJ1LDYkFnYJuXHEnroQmVEGAHWLVf9AHWsb3RZ2CbnVw5GM0DWq0D69Xe3j2sMtBgByoKMKAAAALxFUAQAVE4ntlpjaAtQMQRVA2bydI4vQRGK7Jaa2ADVDUEXjCXsvzxpuFh42b+fINoLM+yhzauD3EQDkQ1BF4wl7L88G2rMSISrjfZS9ar/bCv6wP7wBQJlY9Q8ADSLv3sCZD2vt7cGpxlomtnTbJ7S5qbnwPsaZYJ19HkAk0VEFAFRVyYdqzYyKZE7VHhVJJqv7+ADKRlAFAEQbh/oFvEVQBaRILYACegp794ZIbGkFoCwEVUBiARQiLezdG0Lb0qqGH1DD/jAA1CsWU6FxRbkrGuXX3ug8XWiUvWAqMSPR+4IpH2Q+oGZkfq5V+BmH/WEAqFd0VNG4orwpd5Rfe6MLe/u1KOjLYi4+JAIVRUcVANBnme5p+/R2tY9rD7eYMPEhEagogioAoGjNTc0b7YlarrqcLlALnk7vAMLA0D9QBFYlI3Kyj2aVFZQ6J3TKxZ0mHzNZLu76FCxL3l81KjJTDyZPZnoHIo+gChQhtFXJQCWVMn8yey5sjqDE4qAaYBoBQFAFJJV9LHQ6ragrDRR82O4JiAaCKiIn5x+4MldS02kFetdzHmtf5rVm0NEFooHFVIic0P7AsUACEZDrgyA7AuSWvTCtEuEdaER0VIFaYf9LVFKt9uss8XnodBavc0Kn4mPjfV6UBjQygiqQjc26US9qNd+0gea1Aqg/BFUgG3+UAQDwBkEVABCKaiyyAtBYWEwFAKiJngutWGQFoDd0VAEANZFvoRV7ogLIh6AKAAgVOwUAyIegCtQaOwsASKObDBRGUAVqjZ0FAKTRTQYKYzEVUEDLxJauI8ckZiTU3NSszgmdeS8HAACVQ0cVKCATRnuez3c5AACoHDqqAOCj1lbJrPt5AIgYOqoA4KNUSnJOiseDr6lU2BUBQM2VHFTNbAczu9vMZprZZdUoCgAAACino3qppIuccx+XtK2ZjatsSQAAAEB5c1Q/KOnJ9PcLJQ2uXDlAA2BuIQAAFVFOR/UWSXEz+6ykoyQ90PMGZna6mc02s9mLFi3qa41AfWFuIQAAFVFyUHXOXSzpHklfl3Sdc+6dHLeZ5Jwb45wbM3LkyAqUCQARxZHMAERYuav+50raXtIvK1gLAEROc1Nzzu+7cCQzABFWblD9nqRfOuferWQxABA1nRM6FR8bl4s7jm4GAD2UteG/cy5e6UIAAACAbGz4DwAAAC8RVIFqYREMAAB9QlAFCui5uCXnYpd8WAQDAECflDVHFYiKzOKW9untah/XHm4xAABEDB1VAAhZbEgs7BIAwEsEVQAIWdvotrBLAAAvEVQBAADgJYIqAAAAvERQBQAAgJdY9Q8AiKbWVsms+3kAXqGjChSh56rsPu2vCsAPqZTknBSPB19TqbArAtADHVWgCD1XZbO/KgAA1UdHFQAAAF4iqMJvsVgwhyxzisXCrggAANQIQ//wW0dHMHcsI3vhAwAAaGh0VAEA0cZIDeAtgirQBxyjHfBbUTt0tLXVphgAJWPoH+gDjtEO+I0dOoD6RkcVAAAAXiKoAgAAwEsEVQAAAHiJoAoAAAAvEVQBAADgJYIqAAAAvERQBQAAgJcIqgAAAPASQRUAAABe4shUqF+trZLZhu8BAEBDoaOK+pVKSc5J8XjwPQAAaCgEVQAAAHiJoAoAaHixIbGwSwBQBoIqAKDhtY1uC7sEAGUgqAIAAMBLBFUAAAB4iaAKAAAALxFUAQAA4CWCKgAAALxEUAUAAICXCKoAAADwEkEVAAAAXiKoNoJkMuwKAAAAKo6gmku9Bb9UKuwKAAAAKo6gmgvBDwAAIHQEVQAAAHiJoOqbQtMO6m1KQq3EYmFXAAAAqoCg6ptC0w6YkpBbW1vYFQAAgCogqDaw5Nxk2CUAAACUjaDawFLLUmGXAAAAUDaCKgAAALxEUEVRmEYAAABqjaCKojCNAAAA1BpBtR7EYpKZlEgEX9mOCQAARMCAsAtAETo6JOc2nDcLrxYAAIAaIajWs1gsCLFS0G1tbZVSKbVMbNGClQuCi2ck1NzUrM4JneHVCQAAUAaG/iOKxVEAAMB3BNV6lkoFUwLi8eBr+shVnRM65eJO8bFxubjL2U1lcRQAAPAdQdUXLJgCAADohqBagqoOl2cWTGVOmbmnAAAAEUVQLUEkhsuTyY0uapnYosSMhCxhapnYUvuaAABAJBFUEchMPRg/fqOpB5kdBHp+DwAAUE0E1QYWGxIr/sZ9mHrADgIAAKAaCKoNrG10W02eJxJTIgAAQM0RVAEAAOAlgioAAAC8RFANS47V9WUrYc/VloktsoSxih8AAHhvQNgF1IOWiS1dq90TMxJqbmrOebSnkqSPIlWU1tZgJX72+WxtbUU/VM9V+6ziBwAAvqKjWoTQw13mUKmTJ3c7VCoAAEAjI6jWWl8OlVpC5xQAAKDeMfRfa5n9SjOyh/Q91dzU3NVFbm5qDrkaAAAQFXRUs2V3O0vpdBZSyUVTIemc0Kn42Lhc3PV9bi4AAECR6Khmy+52VqrTWex80t4WTAEAAEQMHVVfZBZMxeMsmAIAABBBFQAAAJ4iqFZLX1b3AwAAgDmqVVOHq/sBAAB8QlBF2apyxC4AAIA0hv5RttCP2AUAABoaQRVFiQ2JhV0CAACIGIIqitI2ui3sEgAAQMQQVCsgOTcZdgkAAAANh6BaAallqbBLAAAAaDgEVd+w3yoAAIAkgqp/2trCrgAAAMALBFUAAAB4iaAKAAAALxFUI6a5qbngeQAAAF9wCNUiNDc1dzvqUj2HOw5xCgAA6gVBtQiZcNc+vV3t49q7Li/rWPetrZJZ9/M+oC4AAOAZhv77oKxj3adSknMbTqlUVWorWaaueNzPunz7eQEAgKojqAIAAMBLBFUAAAB4iaBagtiQWNglAAAARAZBtQRto9vCLgEAACAyCKoAAADwEkEV3cViYVcAAAAgKYpBNRYL9uXMnAhm3bW1VeyhknOTFXssAAAQPdHb8L+jI9iPM6PnZvKZ82ws32epZamwSwAAAHUseh3VQrI3vWdjeQAAgFB5GVQrOmScrOBj9dDc1FzwPAAAAMrnZVAteci4UBitYme0c0KnXNwpPjYuF3fqnNC54crMNILMqQGnElQ0qDN3GAAA9OBlUC2Zj8P02dMIGvQY9QWDeqkyc4czp46OyhUKAADqUslB1cyGmtnfzWy2mV1VjaJKEotJiUSoXTiOWAUAAFB55XRUvybpeufcGElbmtmYCtdUmuxOXEhdOI5YBQAAUHnlbE+1WNIeZjZE0naSXq1sSR5gfmSftExs0YKVCyRJiRkJNTc1921aAAAAiKRyOqqzJLVK+o6keZKW9LyBmZ2enhowe9GiRX0sMQQV3PQ+ijIhNd95AACAYpQTVOOSvumc+7Gk5ySN73kD59wk59wY59yYkSNH9rVGAAAARFA5QXWopD3NrL+k/SW5Xm5fXdnbQGVvAZXZ7ijkhVYAAAAoTzlB9aeSJklaLmmYpBsqWlGpUqncW0Cx3REAAEBdK3kxlXPucUkfrkItAAAAQJfG2PA/F1+ODMWUg41V8bC2AACgcTRuUPXlyFDsILCxBjxKFwAAqLxy9lGtb5lOa/Z5AAAAeKdxO6r5+NJpBQAAQEHRC6oAAACoC/UVVFmEAwAAEBn1FVQZpgcAAIiM+gqqAAAAiIzwgmqthvHZxxQAAKAuhRdUSxnGj8WCLaUSieBrKeGTfUyrLjYkFnYJAACgAdXHPqodHcFWUhnZ+6AidG2j28IuAQAANKDozlFlSgAAAIDXGiOolhM6mRIQjlisvCkcAAAgcupj6L83hM76kT2NgykcAACggMboqAIAAKDhNEZHFfWvtbV7h7W1NbxaAACAF8LpqDJPET2lUsGUgHg8+MpRyAAAiLxwOqrMU4yu7M4pXVMAAFCAV0P/LRNbtGDlAklSYkZCzU3N6pzQGXJVqKhUKjgqGQvgAABAL7xaTJUJqfnOo0EQUgEAQBG8CqrNTc0FzyMCmLMMAADSvBr6zwzzt09vV/u49nCLQTjotgIAgDSvOqpoDHTGAQBAJXjVUUVjoDMOAAAqgY4qAAAAvORlUI0NiYVdAgAAAELmZVBtG90WdgmoAD5wAACAvvAyqKIx8IEDAAD0BUEVAAAAXiKoAgAAwEsEVQAAAHipPvZRbW2VzLqfBwAAQEOrj45qKiU5J8XjwddUKuyKAAAAUGX1EVQBAAAQOQRVAAAAeImgCgAAAC/VV1CNxcKuAAAAADVSX0G1rS3sCgAAAFAj9RVUAQAAEBnh7KOavS8qe6ICAAAgh3A6qqkUe6ICAACgIIb+AQAA4CWCKgAAALxEUAUAAICXCKoAAADwEkEVAAAAXiKoAgAAwEsEVQAAAHiJoAoAAAAvEVQBAADgJYIqAAAAvERQBQAAgJcIqgAAAPASQRUAAABeCi+oxmKhPTUAAAD8F15QbWsL7akBAADgP4b+AQAA4CWCKgAAALxEUAUAAICXCKoAAADwEkEVAAAAXiKoAgAAwEsEVQAAAHiJoAoAAAAvEVQBAADgJYIqAAAAvERQBQAAgJcIqgAAAPASQRUAAABeIqgCAADASwRVAAAAeImgCgAAAC8RVAEAAOAlgioAAAC8RFAFAACAlwiqAAAA8BJBFQAAAF4iqAIAAMBL5pyr7hOYLZLUUaGHGyHprQo9Fhof75fo4nePUvB+CQ8/++hqdc6N7O1GVQ+qlWRms51zY8KuA/WB90t08btHKXi/hIefPXrD0D8AAAC8RFAFAACAl+otqE4KuwDUFd4v0cXvHqXg/RIefvYoqK7mqAIAACA66q2jCgAAGoCZDTOzT5jZiLBrgb+8D6pm1mxmM7PO725md4ZZE/yV/X4xs+3NbLqZ/cPMJpmZhV0fKqPH73lvM7vfzB42s+/2cj/+/0AXMxtsZveY2b1mdruZbRp2TVFhZkMl/U3SfpIeNLNetylCNHkdVNNv5OskNaXP7yTpF5IGh1kX/NTz/SLpDElnOucOk7SdpD3Dqg2Vk+P3fLmk8ZIOlvQFM9shz/34/wM9fVXSL51zR0rqlHRUyPVEyUckneucu0TSNEl7h1wPPOV1UJW0TtIJklakz78t6QvhlQPPdXu/OOcucM7NS183XGwq3Sh6/r8wzDn3qgsm3C+WtFWe+/H/B7pxzv3OOXdf+uxISQvDrCdKnHMznHOPmtkhCrqqj4RdE/w0IOwCCnHOrZCkzIitc25h9nkgW8/3S4aZnSDpWefcG2HUhcrK8Xt+2My+LWmJpJikp9LD+9md07845yb1uB8gSTKzj0ka6px7NOxaoiQ9HesESUslrQm5HHjK66AK9JWZ7ShpgqQjwq4FVXOGpEMl/VjSpenO6jHhloR6YWbDFEwfodteY+l/q2eZ2UWSPidpSsglwUO+D/0DZUvPZbxB0qnOueVh14PqcM6tk/R8+uz1YdaC+pJePHWzpB845zrCridKzOw8Mzs5fXaIpGVh1gN/EVTRyL4vaXtJl6dX/48NuyBUzcWSznNsDI3SnKZgEc8F6f8jTgi7oAiZJOlrZvaQpP6S7g25HniKDf8BAADgJTqqAAAA8BJBFQAAAF4iqAIAAMBLBFUAAAB4iaAKAAAALxFUAQAA4CWCKgAAALz0/wFZMmrUZlqd+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询股票最后100个交易日K线数据，后向复权\n",
    "k = s.getKData(Query(-100, recoverType=Query.BACKWARD))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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